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1.
Zhonghua Yi Xue Za Zhi ; 104(10): 729-735, 2024 Mar 12.
Artigo em Chinês | MEDLINE | ID: mdl-38462352

RESUMO

Objective: To assess the long-term efficacy of metformin in megestrol acetate (MA)-based fertility-sparing treatment for patients with endometrial atypical hyperplasia (EAH) and endometrioid endometrial cancer (EEC). Methods: The randomized controlled trail study was conducted from October 2013 to October 2017 in the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Patients with EAH or EEC were firstly stratified according to pathology, and randomized to receive MA (160 mg orally, daily) plus metformin (500 mg orally, three times a day) or MA (160 mg orally, daily). Baseline data between two groups of patients were compared. Estimates of time to complete remission (CR) and recurrence-free survival (RFS) were calculated using the Kaplan-Meier method. Cox proportional-hazards regression model was used to estimate hazard ratios (HR) of related factors for recurrence-free survival. Quantitative data were represented by M (Q1, Q3). Results: A total of 150 patients were included, and 76 patients were allocated to receive MA plus metformin with the age of 32.5 (28.0, 36.0), while 74 patients received MA alone with the age of 32.0 (28.0, 36.0). By the end of follow-up period, 96.7% (n=145) of patients achieved complete remission, with a median follow-up time of 57.7 (26.7, 70.5) months. The median CR time for the MA plus metformin group and the MA alone group were 6.3 (3.5, 8.3) months and 6.8 (4.0, 9.3) months, respectively (P=0.193), with 2-year cumulative CR rate of 98.6% and 98.5%, respectively (P=0.879). The median time of RFS was 28.1 (12.5, 57.3) months for the MA plus metformin group and 33.3 (14.1, 62.5) months for the MA alone group (P=0.213), with a cumulative RFS rate of 61.9% and 65.8%, respectively (P=0.560). In the subgroup of non-obese (body mass index<28 kg/m2) patients with EAH, the median RFS times were 25.7 (7.6, 60.3) months and 47.3 (17.5, 64.8) months for the MA plus metformin group and the MA alone group, respectively (P=0.033), with a cumulative RFS rate of 57.5% and 80.6%, respectively (P=0.029). According to Cox proportional hazards regression analysis, undergoing assisted reproductive treatment (HR=2.358, 95%CI: 1.069-5.204, P=0.034) was identified as an independent risk factor for recurrence-free survival after complete remission of endometrial lesions. Conclusion: The long-term follow-up outcome indicates that there is no significant difference in CR time and RFS time between MA plus metformin therapy and MA alone therapy for patients with EAH or EEC.


Assuntos
Hiperplasia Endometrial , Neoplasias do Endométrio , Preservação da Fertilidade , Metformina , Gravidez , Feminino , Humanos , Acetato de Megestrol/uso terapêutico , Metformina/uso terapêutico , Metformina/efeitos adversos , Hiperplasia/induzido quimicamente , Neoplasias do Endométrio/tratamento farmacológico , Neoplasias do Endométrio/patologia , Preservação da Fertilidade/métodos , Resultado do Tratamento , China , Hiperplasia Endometrial/tratamento farmacológico , Hiperplasia Endometrial/induzido quimicamente , Hiperplasia Endometrial/patologia , Estudos Retrospectivos
2.
Front Genet ; 13: 952083, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36092919

RESUMO

Objective: The aim of this study was to establish predictive models based on the molecular profiles of endometrial lesions, which might help identify progestin-insensitive endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients before progestin-based fertility-preserving treatment initiation. Methods: Endometrial lesions from progestin-sensitive (PS, n = 7) and progestin-insensitive (PIS, n = 7) patients were prospectively collected before progestin treatment and then analyzed by ATAC-Seq and RNA-Seq. Potential chromatin accessibility and expression profiles were compared between the PS and PIS groups. Candidate genes were identified by bioinformatics analyses and literature review. Then expanded samples (n = 35) were used for validating bioinformatics data and conducting model establishment. Results: ATAC-Seq and RNA-Seq data were separately analyzed and then integrated for the subsequent research. A total of 230 overlapping differentially expressed genes were acquired from ATAC-Seq and RNA-Seq integrated analysis. Further, based on GO analysis, REACTOME pathways, transcription factor prediction, motif enrichment, Cytoscape analysis and literature review, 25 candidate genes potentially associated with progestin insensitivity were identified. Finally, expanded samples were used for data verification, and based on these data, three predictive models comprising 9 genes (FOXO1, IRS2, PDGFC, DIO2, SOX9, BCL11A, APOE, FYN, and KLF4) were established with an overall predictive accuracy above 90%. Conclusion: This study provided potential predictive models that might help identify progestin-insensitive EAH and EEC patients before fertility-preserving treatment.

3.
Front Microbiol ; 10: 175, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30800111

RESUMO

Polycystic ovary syndrome (PCOS) is a frequent endocrine and metabolic syndrome in reproductive-age women. Recently, emerging evidence has shown that gut microbiota is closely related to metabolic diseases such as type 2 diabetes, obesity and PCOS. In the present study, we established dihydrotestosterone (DHT)-induced PCOS rats and used Illumina MiSeq sequencing (PE300) to examine the composition, diversity, and abundance of the gut microbiota in PCOS. We compared the effects of three PCOS treatments: Diane-35 (estrogen and progesterone), probiotics and berberine. The DHT-induced rats showed constant estrous cycles, the loss of mature ovarian follicles, insulin resistance and obesity. The reproductive and metabolic functions in the PCOS rats were improved by treatment with Diane-35 and probiotics. Diane-35 and probiotics could restore the diversity of the gut microbiota, and the recovery of gut microbiota disorders improved the reproductive function in PCOS-like rats. However, berberine drastically reduced the species diversity and amount of gut microbiota and showed no improvement in PCOS. The findings of this study will help us to better understand the influence of the gut microbiota in the metabolic and reproductive alterations in PCOS as well as suggest opportunities for future personal dietary guidance for PCOS.

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